BACKGROUND: Infective endocarditis (IE) is a life-threatening infection with an annual mortality of 40%. Embolic events reported in up to 80% of patients. Vegetations of > 10 mm size are associated with increased embolic events and poor prognosis. There is a paucity of literature on the association of multiple vegetations with outcome.
OBJECTIVE: To study the echocardiographic (ECHO) features and outcomes associated with the presence of multiple vegetations.
METHODS: In this retrospective, single-center, cohort study patients diagnosed with IE were recruited from June 2017 to June 2019. A total of 84 patients were diagnosed to have IE, of whom 67 with vegetation were identified. Baseline demographic, clinical, laboratory, and ECHO parameters were reviewed. Outcomes that were studied included recurrent admission, embolic phenomenon, and mortality.
RESULTS: Twenty-three (34%) patients were noted to have multiple vegetations, 13 (56.5%) were male and 10 (43.5%) were female. The mean age of these patients was 50. Eight (35%) had a prior episode of IE. ECHO features of moderate to severe valvular regurgitation [odds ratio (OR) = 4], presence of pacemaker lead (OR = 4.8), impaired left ventricle (LV) relaxation (OR = 4), and elevated pulmonary artery systolic pressure (PASP) (OR = 2.2) are associated with higher odds of multiple vegetations. Of these moderate to severe valvular regurgitation (P = 0.028), pacemaker lead (P = 0.039) and impaired relaxation (P = 0.028) were statistically significant. These patients were noted to have an increased association of recurrent admissions (OR = 3.6), recurrent bacteremia (OR = 2.4), embolic phenomenon (OR = 2.5), intensive care unit stay (OR = 2.8), hypotension (OR = 2.1), surgical intervention (OR = 2.8) and device removal (OR = 4.8). Of this device removal (P = 0.039) and recurrent admissions (P = 0.017) were statistically significant.
CONCLUSIONS: This study highlights the associations of ECHO predictors and outcomes in patients with IE having multiple vegetations. ECHO features of moderate to severe regurgitation, presence of pacemaker lead, impaired LV relaxation, and elevated PASP and outcomes including recurrent admissions and device removal were found to be associated with multiple vegetations.

BACKGROUND: The incidence of colorectal cancer (CRC) has been increasing in Sub-Saharan countries, including Ethiopia. However, the real mortality rate for CRC patients in Ethiopia has not been established. Therefore, this systematic review and meta-analysis aimed to determine the overall mortality rate and identify predictors among CRC patients in Ethiopia.
METHODS: PubMed, EMBASE, Web of Science, Scopus, Science Direct, and Google Scholar were searched to identify relevant articles. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) were followed. The quality of the included studies was assessed using the Newcastle-Ottawa Scale Critical Appraisal checklist. A random effect model was used to estimate the pooled mortality rate and adjusted hazard ratio (AHR). Publication bias was assessed using funnel plots and Egger\'s regression test, while heterogeneity was evaluated through the Cochran Q test and I2 statistics.
RESULTS: After reviewing 74 articles, only 7 studies met the criteria and were included in the analysis. The analysis revealed that the overall mortality rate among CRC patients in Ethiopia was 40.5% (95% confidence interval [CI]: 32.05, 48.87) while the survival rates at 1 year, 3 years, and 5 years were 82.3% (95% CI: 73.33, 91.31), 48.8% (95% CI: 43.35, 54.32), and 26.6% (95% CI: 21.26, 31.91) respectively. Subgroup analysis indicated that studies conducted after 2017 had higher mortality rates compared to those studied earlier (43.0% vs. 38.2%). Older age (AHR: 1.89, 95% CI: 1.27, 2.82); being married (AHR: 2.53, 95% CI: 1.79, 3.57); having comorbidities (AHR: 1.84, 95% CI: 1.45, 2.35); having high CEA levels (AHR: 2.06, CI: 1.35, 3.13); being in stage II (AHR: 4.13, 95% CI: 1.85, 9.22), III (AHR: 8.62, 95% CI: 3.88, 19.15), and IV (AHR: 8.06, CI: 2.89, 22.49) were the most important predictors.
CONCLUSIONS: In Ethiopia, the mortality rate among individuals diagnosed with CRC is high, with two out of five patients dying from this disease. Age, marital status, CEA level, comorbidities, and cancer stage were identified as predictors of mortality in CRC patients. Therefore, early detection and screening should be prioritized, particularly for older patients, those who are married, have comorbidities, elevated CEA levels, and advanced cancer stages.

UNASSIGNED: Risk prediction models are commonly performed with logistic regression analysis but are limited by skewed datasets. We utilised neural networks (NNs) model to identify independent predictors of poor outcomes in cerebral venous thrombosis (CVT) due to the limitations of logistic regression (LR) analysis with complex datasets.
UNASSIGNED: We evaluated 1309 adult CVT patients from the prospective BEAST (Biorepository to Establish the Aetiology of Sinovenous Thrombosis) study. The area under the receiver operating characteristic (AUROC) curve confirmed the goodness-of-fit of prediction models. The normalised importance (NI) of the NNs determines the significance of independent predictors.
UNASSIGNED: The stepwise logistic regression model found thrombolysis (OR 32.1; 95% CI 3.6-287.0; P=0.002), craniotomy (OR 6.9; 95% CI 1.3-36.8; P=0.02), and cerebral haemorrhage (OR 4.5; 95% CI 1.3-15.4; P=0.01) as predictors of poor clinical outcome with the AUROC of 0.71. Conversely, the NNs model identified major independent predictors of long-term poor clinical outcomes as cerebral haemorrhage (NI 100%) and thrombolysis (NI 98%), as well as trivial predictors of age (NI 2.8%) and altered mental status (NI 3.5%). The accuracy of the NNs model was 95.1% and 94.1% for self-learned randomly selected training and testing samples with an AUROC of 0.82. Positive and negative predictive values for poor outcomes were 13.2% and 97.1% for the LR model, compared with the NNs model of 18.8% and 98.7%, respectively.
UNASSIGNED: Cerebral haemorrhage and thrombolysis was a strong independent predictor, whereas age merely impacts the long-term poor clinical outcome in adult CVT. Integrating unorthodox neural networks risk prediction model can improve decision-making as it outperforms conventional logistic regression with complex datasets.

UNASSIGNED: In the era of an aging society and a growing number of obese people, an increasing number of older patients are consulting bariatric surgeons. The incidence of hypertension (HT) also rises with age and body weight, making the treatment of the elderly a significant challenge.
UNASSIGNED: To identify predictors of HT remission after bariatric surgery in patients over 65 years of age.
UNASSIGNED: A retrospective study analyzed patients over 65 years old with HT who underwent laparoscopic bariatric procedures in Poland between 2008 and 2022. The data came from 11 bariatric centers. Patients were categorized into two groups: responders (R) and non-responders (NR). A multivariate logistic regression analysis was conducted to identify significant independent risk factors.
UNASSIGNED: The study analyzed 244 patients, with complete HT remission observed in 55 (22.5%) patients. Almost 90% of patients showed improvement in HT. The mean follow-up time was 47.4 months. Factors contributing to HT remission included HT duration of less than 5 years, the use of single medication, and a significant correlation with %EWL.
UNASSIGNED: Bariatric surgery in patients aged over 65 has a positive effect on HT remission. The chance of HT remission increases with fewer medications, shorter HT duration, and greater weight loss after surgery.

UNASSIGNED: points of entry (POE) staff are particularly prone to depression and anxiety during outbreaks. The study aimed to determine the prevalence and predictors of depression and anxiety among POE staff in Botswana.
UNASSIGNED: this was a cross sectional study at Sir Seretse Khama International Airport (SSKIA) and Tlokweng border from 02/12/2021 to 24/02/2022 during the COVID-19 outbreak. The Patient Health Questionnaire-9 (PHQ-9) and the General Anxiety Disorder-7 item scale (GAD-7) were used to screen for depression and anxiety respectively. Logistic regression was used to determine predictors of depression (PHQ-9≥10) and anxiety (GAD-7 ≥10).
UNASSIGNED: a total of 276 POE workers participated in the study of which 60 (21.7%) had an abnormal PHQ-9 score (had depression). Anxiety levels were abnormal in 31 (11.2%) participants. The predictors of depression were working at SSKIA (Adjusted odds ratio (AOR) 0.22, 95% Confidence interval (CI) 0.08-0.65), age >39 years (AOR 0.15, 95% CI 0.03-0.68), having a diploma (AOR 0.27, 95% CI 0.008-0.89), having a degree or higher (AOR 0.23, 95% CI 0.07-0.80), history of asthma (AOR 4.43, 95% CI 1.17-16.72), experience of stigma and discrimination (AOR 2.93, 95% CI 1.01-8.55) and having older people (>65 years) in the household (AOR 4.61, 95% CI 1.64-12.99). The predictors of anxiety were having chronic medical conditions (AOR 5.76, 95% CI 1.34-24.78) and experience of stigma and discrimination (AOR 6.82, 95% CI 1.42-32.46).
UNASSIGNED: depression and anxiety were detected in a significant number of participants. Multiple risk factors were identified. Public health interventions should target these risk factors.

UNASSIGNED: arthritis is a significant public health problem affecting many people globally. Exposure to various risk factors puts individuals at risk of developing arthritis. Therefore, this study aimed to assess the prevalence and predictors of arthritis among residents of a rural set-up in Nyamira County, Kenya.
UNASSIGNED: a community-based cross-sectional study design was employed. Simple random sampling was utilized to select households from a household list. All the residents of the sampled household above 40 years were included. Descriptive analysis was done to describe the study population. Bivariate and multivariate analysis was also done to identify statistically significant arthritis-related variables.
UNASSIGNED: the prevalence of arthritis was 44.6%. Previous joint injury/infection [AOR=2.74; 95%CI=1.59-4.77; p<0.001], being unemployed [AOR=2.77; 95%CI=1.50-5.21; p=0.001], age above 51 years, and hypertension [AOR=1.90; 95%CI=1.03-3.53, p=0.040] were associated with an increased risk of arthritis. Conversely, being male [AOR=0.42; 95% CI=0.22-0.75; p=0.005], standing for > 2 hours [AOR=0.48; 95%CI=0.29-0.81; p=0.006], and constant shifting from sit to stand positions [AOR=0.45; 95% CI=0.26-0.76; p=0.003] were associated with a lower risk of arthritis. Most participants (75%) had an arthritis knowledge score of more than 66%.
UNASSIGNED: the study found a high prevalence of arthritis in the community. Arthritis was strongly associated with various risk factors under study. Therefore, there is a need to take preventive measures for modifiable factors to enhance a reduced prevalence of arthritis.

UNASSIGNED: Axillary lymph node involvement (ALNI) is associated with an increased risk of local recurrence and poor prognosis in early breast cancer. The determination of the risk of positive axillary lymph node contributes to therapeutic decisions.
UNASSIGNED: The aim of this study was to identify clinicopathological predictive factors of axillary lymph node metastases in patients with early breast cancer.
UNASSIGNED: We included patients with clinical T0, T1 andT2 invasive breast carcinoma who underwent resection of the primary tumor and axillary staging by sentinel lymph node biopsy and/or axillar lymph node dissection between 2012 and 2018.
UNASSIGNED: Of the 135patients included, 41.5% had ALNI. Regarding univariate analysis, clinical factors correlated with positive ALNM were clinical tumour size>30mm, clinical tumour stage, clinical number of tumours, clinical axillary nodal status and nodal status on ultrasound. Pathologic factors associated with nodal involvement were pathologic tumour stage, tumour grade SBR, number of foci, lymphovascular invasion, perineural invasion and Ki67>20%.In multivariate logistic regression, clinical axillary nodal status, pathologic tumour stage and lymphovascular invasion (LVI) remained as independent predictors of ALNI.
UNASSIGNED: Based on these results, we suggest that clinical axillary nodal status, pathologic tumour stage and LVI are predictive factors for ALNM in Tunisian women with early breast cancer.

BACKGROUND: Atherogenic index of plasma (AIP) is a non-traditional lipid parameter that can reflect the burden of atherosclerosis. A lipid profile resembling atherosclerosis emerged during pregnancy. Although lipid metabolism is pivotal in diabetes pathogenesis, there is no evidence linking AIP to gestational diabetes mellitus (GDM). Therefore, our objective was to explore the relationship between AIP and GDM and assess AIP\'s predictive capability for GDM.
METHODS: This was a secondary analysis based on data from a prospective cohort study in Korea involving 585 single pregnant women. AIP was calculated as log10 (TG/HDL). We examined the relationship between AIP and GDM using logistic regression models, curve fitting, sensitivity analyses, and subgroup analyses. Receiver operating characteristic (ROC) analysis was also used to determine the ability of AIP to predict GDM.
RESULTS: The average age of the participants was 32.06 ± 3.76 years. The AIP was 0.24 ± 0.20 on average. The GDM incidence was 6.15%. After adjustment for potentially confounding variables, AIP showed a positive linear relationship with GDM (P for non-linearity: 0.801, OR 1.58, 95% CI 1.27-1.97). The robustness of the connection between AIP and GDM was demonstrated by sensitivity analyses and subgroup analyses. An area under the ROC curve of 0.7879 (95% CI 0.7087-0.8671) indicates that AIP is an excellent predictor of GDM. With a specificity of 75.41% and sensitivity of 72.22%, the ideal AIP cut-off value for identifying GDM was 0.3557.
CONCLUSIONS: This study revealed that the AIP at 10-14 weeks of gestation was independently and positively correlated with GDM risk. AIP could serve as an early screening and monitoring tool for pregnant women at high risk of GDM, thereby optimizing GDM prevention strategies.
BACKGROUND: ClinicalTrials.gov registration no. NCT02276144.

UNASSIGNED: Among the multiple scoring systems for hemorrhagic transformation, only few of these address spontaneous hemorrhagic transformation after an ischemic stroke, with most done with Western population data.
UNASSIGNED: This study aims to identify the predictors for hemorrhagic transformation among patients with ischemic stroke admitted in a tertiary hospital in Cebu City, Philippines.
UNASSIGNED: This is a retrospective cohort study of patients with ischemic stroke admitted in a tertiary hospital in Cebu City. Patients\' baseline characteristics, clinical, and radiologic data were collected. Chi square test and t-test were used to determine which variables were significantly different between patients with and without hemorrhagic transformation. Odds ratio (OR) and 95% confidence interval (CI) were determined to measure the association between the different variables and hemorrhagic transformation.
UNASSIGNED: A total of 500 ischemic stroke patients were included in the study. There were 28 (6%) ischemic stroke patients with Hemorrhagic Transformation. The mean age of these patients is 66.93 ± 12.42 years, 48.8% male, 10.8% had atrial fibrillation, and 2.4% had myocardial infarction. Controlling for the effect of confounders, white blood cell count (OR 1.11; 95% CI 1.03-1.19), myocardial infarction (OR 5.25; 95% CI 1.13-24.34), and presence of brain edema (OR 2.86; 95% CI 1.05-7.80) were significant predictors of hemorrhagic transformation.
UNASSIGNED: White blood cell count, presence of brain edema, and myocardial infarction were significantly associated with hemorrhagic transformation among ischemic stroke patients.

Introduction Frailty is noticed in a large number of cirrhotic patients with advanced liver disease. Frailty not only disposes cirrhotic patients to increased rates of decompensation and hospitalization but also leads to prolonged hospital stay and increased psychological and social impact, resulting in the delisting of these patients from the transplant list. Therefore, our aim was to identify the factors that are independent predictors of frailty in patients with liver cirrhosis. Methods This cross-sectional study was carried out at the Department of Hepatogastroenterology, Sindh Institute of Urology and Transplantation, Karachi, Pakistan, from March 1, 2022, to August 31, 2022. All the patients diagnosed with liver cirrhosis and aged 18-70 years were included in the study. The excluded patients comprised those with disorders that over-estimate frailty such as cardiopulmonary disease and hepatocellular carcinoma. The measurement of the Liver Frailty Index (LFI) was done using the hand grip strength method, timed chair stands, and balance testing. Patients with LFI >4.5 were considered frail. All data was entered and analyzed using IBM SPSS Statistics for Windows, Version 22.0 (Released 2013; IBM Corp., Armonk, New York, United States). Continuous variables were analyzed using the student-t test while categorical variables were analyzed using the chi-square test. Variables with significance on univariate analysis then underwent multivariate analysis to identify the independent predictors of frailty in cirrhotic patients. A p-value < 0.05 was considered statistically significant. Results A total of 132 patients were included in the study. Out of them, 89 (67.4%) were males. On assessment, 51 (38.6%) patients were frail on presentation. On univariate analysis, female gender, advanced age, raised total leucocyte count, increased percentage of neutrophils on peripheral smear, raised serum creatinine, raised total bilirubin, raised prothrombin time, high Child Turcotte Pugh (CTP) score, and high model for end-stage liver disease along with low hemoglobin and low serum albumin levels were statistically significantly associated with frailty in cirrhosis. On multivariate analysis, female gender, age >40 years, CTP>B7, Hemoglobin <10g/dl, and neutrophils >60% on peripheral smear were independent predictors of liver frailty in cirrhotic patients. Conclusion Female gender, advanced age, increased neutrophils on peripheral smear, decreased hemoglobin along with increased degree of liver dysfunction were independent predictors of increased frailty in patients with chronic liver disease.